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@mudassarabbas
Senior Data Scientist specializing in AI solutions and LLMs.
I am a Senior Data Scientist with over 10 years of experience in Python and a specialized focus on building AI solutions across various technological systems. My expertise lies in Retrieval-Augmented Generation (RAG), LLM fine-tuning, and metadata extraction. I have a proven track record of designing and implementing robust evaluation frameworks to assess and optimize LLM performance, ensuring safe and responsible AI usage.
Throughout my career, I have successfully deployed AI into production environments, collaborating closely with cross-functional teams to deliver sophisticated AI solutions that drive tangible business impact. My hands-on experience with cloud AI services, including Azure, AWS, and GCP, enables me to translate complex AI capabilities into commercial outcomes. I am passionate about product-driven and customer-centric approaches, always striving to enhance operational efficiency and sales pipeline velocity through innovative AI applications.
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Work history, roles, and key accomplishments
Systems Ltd.
Jan 2024 - Present (1 year 10 months)
Architected and developed a Gen AI chatbot for UDC-Qatar, reducing live agent workload and enabling 24/7 customer service. Implemented and productized high-value Gen AI use cases, including automated lead generation and service request handling, directly contributing to improved operational efficiency and sales pipeline velocity.
HMD Global (Ex. Nokia)
Jan 2021 - Dec 2023 (2 years 11 months)
Developed NLP pipelines for large volumes of unstructured customer feedback, transforming raw text for analysis. Built and fine-tuned deep learning-based sales forecasting models (NBeats, DeepAR, Transformers) for predicting device sales, improving forecast accuracy.
Synavos Solutions
Nov 2019 - Dec 2020 (1 year 1 month)
Designed and deployed a computer vision pipeline (MTCNN, ResNET) for an inventory management system, automating asset logging and reducing manual tracking errors. Developed and implemented a deep learning solution for person tracking and demographic classification from CCTV footage to enhance retail analytics.
Aalto University
Jun 2013 - Oct 2018 (5 years 4 months)
Co-developed and implemented the novel Virtual Adversarial Training (VAT) framework, a seminal contribution to semi-supervised deep learning. Published influential research in top-tier, peer-reviewed AI/ML conferences and journals.
Aalto University
May 2010 - Sep 2012 (2 years 4 months)
Analyzed multi-source datasets (WHO, FAO) using Self-Organizing Maps (SOMs) to uncover key correlations between nutrition, lifestyle, and global health outcomes. Designed and implemented a multiple target tracking system for complex dynamic environments using state-space modeling frameworks.
Telenor
Feb 2007 - Aug 2009 (2 years 6 months)
Ensured the operational uptime and performance of business-critical subscriber services within a large-scale enterprise environment. Managed and monitored core platforms including Siebel CRM, TIBCO middleware, and Oracle databases, resolving issues to maintain service continuity for millions of subscribers.
Degrees, certifications, and relevant coursework
Ph.D. in Machine Learning, Machine Learning
2013 - 2018
Co-developed and implemented the novel Virtual Adversarial Training (VAT) framework, a seminal contribution to semi-supervised deep learning. Published influential research in top-tier, peer-reviewed AI/ML conferences and journals (e.g., Journal of Uncertainty Quantification, ICLR). Applied Bayesian Optimization and advanced statistical methods to complex modeling problems in climate science and n
M.Sc. in Machine Learning and Data Mining, Machine Learning and Data Mining
2010 - 2012
Analyzed multi-source datasets (WHO, FAO) using Self-Organizing Maps (SOMs) to uncover key correlations between nutrition, lifestyle, and global health outcomes. Designed and implemented a multiple target tracking system for complex dynamic environments using state-space modeling frameworks. Developed statistical models to estimate latent parameters from real-world GPS sensor data, applying techni
B.S. in Computer & Information Sciences (CIS), Computer & Information Sciences (CIS)
2002 - 2006
Studied Computer & Information Sciences.
Software and tools used professionally
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